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Generating Code from Textual Description of Functionality
Kačur, Ján ; Ondřej, Karel (referee) ; Smrž, Pavel (advisor)
The aim of this thesis was to design and implement system for code generation from textual description of functionality. In total, 2 systems were implemented. One of them served its purpose as a control prototype, the second one was the main product of this thesis. I focused on using smaller non-pre-trained models. Both systems used Transformer type model as their cores. The second system, unlike the first, used syntactic decomposition of both code and textual descriptions. Data used in both systems originated from project CodeSearchNet. Targer programming language to generate was Python. The second system achieved better quantitative results than the first one, with accuracy of 85% versus 60%. The system managed to auto-complete correct code to finish the function definition, with bigger time delay. This thesis is almost exclusively dedicated to the second system.
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Model Driven Development of Spark Tasks by Means of Eclipse Acceleo
Šalgovič, Marek ; Bartík, Vladimír (referee) ; Rychlý, Marek (advisor)
Táto diplomová práca sa zaoberá modelom riadeným vývojom Big Data úloh v prostredí Apache Spark. Na začiatok je čitateľovi predstavený framework Apache Spark a potrebné detaily. Ďalej sa priblíži problematika modelom riadeného vývoja a popíšu sa jeho výhody a nevýhody. V druhej časti je popísaný navrhnutý meta-model pre modelovanie úloh Sparku. Detailne sú popísané vlastnosti navrhnutého profilového diagramu, ktorý rozširuje diagram tried. Následne je implementovaný generátor kódu, ktorého vstup sú modely vyhovujúce navrhnutému meta-modelu. Práca taktiež obsahuje príklady modelov a ich vyhodnotenie.
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Model Driven Development of Spark Tasks by Means of Eclipse Acceleo
Šalgovič, Marek ; Bartík, Vladimír (referee) ; Rychlý, Marek (advisor)
Táto diplomová práca sa zaoberá modelom riadeným vývojom Big Data úloh v prostredí Apache Spark. Na začiatok je čitateľovi predstavený framework Apache Spark a potrebné detaily. Ďalej sa priblíži problematika modelom riadeného vývoja a popíšu sa jeho výhody a nevýhody. V druhej časti je popísaný navrhnutý meta-model pre modelovanie úloh Sparku. Detailne sú popísané vlastnosti navrhnutého profilového diagramu, ktorý rozširuje diagram tried. Následne je implementovaný generátor kódu, ktorého vstup sú modely vyhovujúce navrhnutému meta-modelu. Práca taktiež obsahuje príklady modelov a ich vyhodnotenie.
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Generating Code from Textual Description of Functionality
Kačur, Ján ; Ondřej, Karel (referee) ; Smrž, Pavel (advisor)
The aim of this thesis was to design and implement system for code generation from textual description of functionality. In total, 2 systems were implemented. One of them served its purpose as a control prototype, the second one was the main product of this thesis. I focused on using smaller non-pre-trained models. Both systems used Transformer type model as their cores. The second system, unlike the first, used syntactic decomposition of both code and textual descriptions. Data used in both systems originated from project CodeSearchNet. Targer programming language to generate was Python. The second system achieved better quantitative results than the first one, with accuracy of 85% versus 60%. The system managed to auto-complete correct code to finish the function definition, with bigger time delay. This thesis is almost exclusively dedicated to the second system.
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Code Generation from UML State Machine Description
Píš, Ľuboš ; Richta, Karel (advisor) ; Nečaský, Martin (referee)
This paper discusses the implementation of a suitable algorithm for code generation from UML state machine diagrams. The work includes analysis of state machines described in UML, followed by a description of the input fi le format of the proposed design of the generator and the generator itself. The generator was fully implemented in the work along with other functional requirements. At the end of this thesis is a description of the resulting implementation.
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